Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
life cycle assessment although no prior experience in these methods is required. You should have, or soon have, a PhD or equivalent in polymer chemistry or a closely related field with experience in
-
Learning, AI, and Software Engineering techniques to deliver a robust Software/AI enabled solution. Candidates will require a PhD or master’s degree in computer science with evidence of a strong grounding in
-
The Division of Informatics, Imaging and Data Sciences in the School of Health Sciences wishes to recruit an enthusiastic and innovative individual to the role of Lecturer in Health Data Science to
-
-quality journals; substantially contribute to teaching and assessment; provide academic and operational leadership; and help deliver the strategic goals of the Division. Applicants should have a PhD or
-
infrastructure, enabling effective use of the facility for these cutting-edge experiments. Applicants should hold, or be nearing completion of, a PhD in cancer biology, radiobiology or a related biological
-
statistical analysis of the data and the production of manuscripts. Suitable candidates will have a background in statistical genetics and bioinformatics with a PhD in a relevant subject. The candidate will
-
on the online programme application and supporting documents. Application form Additional documentation Your full online application must include; A 1,500 word PhD research proposal. Times New Roman, Font
-
for this award you must meet the following criteria: Have submitted an application by the deadline for a PhD programme to start in September 2024. Hold (or expect to achieve) a first class honours undergraduate
-
you must: Have submitted an application by the deadline for a PhD programme to start in September 2024. Hold (or expect to achieve) a first class or 2.1 UK honours undergraduate degree (or international
-
, developing research proposals, management of research projects, supervising PhD, postgraduate and undergraduate students, demonstrating research excellence and leadership to more junior members in the research